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Publikationen

Zeige Ergebnisse 31 bis 40 von 13743.

  1. Tatjana Legler; Vinit Hegiste; Martin Ruskowski

    Multifaceted Applications of Federated Learning: Beyond Neural Networks

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 271-278, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  2. Vinit Hegiste; Tatjana Legler; Martin Ruskowski

    Collaborative Learning in Shared Production Environment Using Federated Image Classification

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  3. Hannah Stein; René Herbert Reich; Lucian Visinescu; Wolfgang Maaß

    Conceptualizing Personal Data Pricing Through Construal Level Theory

    In: Americas Conference on Information Systems. Americas Conference on Information Systems (AMCIS-2025), August 14-16, Montreal, Canada, AIS, 8/2025.

  4. Julian Wolter; Amr Gomaa

    Predicting Human Behavior in Autonomous Systems: A Collaborative Machine Teaching Approach for Reducing Transfer of Control Events

    In: ArXiv e-prints (arxiv), Vol. arXiv:2505.10695, ArXiv, 2025.

  5. Daniel Stattkus; Lorena Göritz; Laura Hein; Jannick Eckle; Maja-Gwendoline Reibold; Sascha Schuhmacher; Julia Knopf; Oliver Thomas

    YouCodeGirls – Nutzung von Künstlicher Intelligenz zur zielgruppengerechten Unterstützung von Lernprozessen

    In: HMD - Praxis der Wirtschaftsinformatik (HMD), Vol. 0, Pages 1-21, Springer, 2/2025.

  6. Annika Tjabben; Lea Bergkemper; Carolin Conrad; Christoph Lipps; Hans Dieter Schotten

    A Microbubble-based Approach for Intra-Body Communication

    IEEE Communication Theory Workshop, 2025.

  7. Christoph Peter Balada; Aida Romano-Martinez; Vincent ten Cate; Katharina Geschke; Jonas Tesarz; Paul Claßen; Alexander K Schuster; Dativa Tibyampansha; Karl-Patrik Kresoja; Philipp S Wild; others

    Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

    In: Lecture Notes in Computer Science. Medical Image Understanding and Analysis (MIUA-2025), LNCS, Springer Nature, 2025.

  8. Sogo Pierre Sanon; Hans Dieter Schotten (Hrsg.)

    Quantum-Ready Mobile Communications: Cryptographic Agility for Mobile Networks in the Quantum Era

    IEEE Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM-2025), IEEE Xplore, 2025.

  9. Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

    Augmentation of Semantic Processes for Deep Learning Applications

    In: Applied Artificial Intelligence, Vol. 39, No. 1, Pages 1-48, Taylor & Francis, 2025.

  10. Jonas Wahl; Jakob Runge

    Separation-Based Distance Measures for Causal Graphs

    In: Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2025), May 3-5, Mai Khao, Thailand, Pages 3412-3420, PMLR, Vol. 258, Proceedings of Machine Learning Research, 2025.

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